Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jana Filipova is active.

Publication


Featured researches published by Jana Filipova.


European Journal of Haematology | 2017

Deregulated expression of long non-coding RNA UCA1 in multiple myeloma

Lenka Sedlaříková; Barbora Gromesová; Veronika Kubaczková; Lenka Radová; Jana Filipova; Jiří Jarkovský; Lucie Brožová; Roberta Velichová; Martina Almáši; Miroslav Penka; Renata Bezděková; Martin Štork; Zdeněk Adam; Luděk Pour; Marta Krejčí; Petr Kuglík; Roman Hájek; Sabina Ševčíková

Long non‐coding RNAs (lncRNAs) are RNA transcripts longer than 200 nucleotides that are not translated into proteins. They are involved in pathogenesis of many diseases including cancer and have a potential to serve as diagnostic and prognostic markers. We aimed to investigate lncRNA expression profiles in bone marrow plasma cells (BMPCs) of newly diagnosed multiple myeloma (MM) patients in comparison to normal BMPCs of healthy donors (HD) in a three‐phase biomarker study.


Leukemia Research | 2015

Flow cytometry in immunoglobulin light chain amyloidosis: Short review.

Jana Filipova; Lucie Rihova; Pavla Všianská; Zuzana Kufova; Elena Kryukova; Fedor Kryukov; Roman Hájek

Flow cytometry (FCM) has found its application in clinical diagnosis and evaluation of monoclonal gammopathies (MG). Although, research has been mainly focused on multiple myeloma (MM), nowadays FCM becomes to be potential tool in the field of AL amyloidosis. Clonal plasma cells identification and specific phenotype profile detection is important for diagnosis, monitoring and prognosis of AL amyloidosis. Therefore, FCM could be a perspective method for study not only MM but also AL amyloidosis. This review provides an overview and possibilities of FCM application in AL amyloidosis.


Journal of Clinical Pathology | 2018

Newly designed 11-gene panel reveals first case of hereditary amyloidosis captured by massive parallel sequencing

Zuzana Kufova; Tereza Ševčíková; Jaroslav Januska; Petr Vojta; Arpad Boday; Pavla Vanickova; Jana Filipova; Katerina Growkova; Tomas Jelinek; Marian Hajduch; Roman Hájek

Aims Amyloidosis is caused by deposition of abnormal protein fibrils, leading to damage of organ function. Hereditary amyloidosis represents a monogenic disease caused by germline mutations in 11 amyloidogenic precursor protein genes. One of the important but non-specific symptoms of amyloidosis is hypertrophic cardiomyopathy. Diagnostics of hereditary amyloidosis is complicated and the real cause can remain overlooked. We aimed to design hereditary amyloidosis gene panel and to introduce new next-generation sequencing (NGS) approach to investigate hereditary amyloidosis in a cohort of patients with hypertrophic cardiomyopathy of unknown significance. Methods Design of target enrichment DNA library preparation using Haloplex Custom Kit containing 11 amyloidogenic genes was followed by MiSeq Illumina sequencing and bioinformatics identification of germline variants using tool VarScan in a cohort of 40 patients. Results We present design of NGS panel for 11 genes (TTR, FGA, APOA1, APOA2, LYZ, GSN, CST3, PRNP, APP, B2M, ITM2B) connected to various forms of amyloidosis. We detected one mutation, which is responsible for hereditary amyloidosis. Some other single nucleotide variants are so far undescribed or rare variants or represent common polymorphisms in European population. Conclusions We report one positive case of hereditary amyloidosis in a cohort of patients with hypertrophic cardiomyopathy of unknown significance and set up first panel for NGS in hereditary amyloidosis. This work may facilitate successful implementation of the NGS method by other researchers or clinicians and may improve the diagnostic process after validation.


Journal of Clinical Pathology | 2017

Biobanking strategy and sample preprocessing for integrative research in monoclonal gammopathies

Tereza Ševčíková; Kateřina Growková; Zuzana Kufova; Jana Filipova; P Vrublová; Tomas Jelinek; Z Kořístek; Fedor Kryukov; Elena Kryukova; Roman Hájek

Aims Some types of monoclonal gammopathies are typified by a very limited availability of aberrant cells. Modern research use high throughput technologies and an integrated approach for detailed characterisation of abnormal cells. This strategy requires relatively high amounts of starting material which cannot be obtained from every diagnosis without causing inconvenience to the patient. The aim of this methodological paper is to reflect our long experience with laboratory work and describe the best protocols for sample collection, sorting and further preprocessing in terms of the available number of cells and intended downstream application in monoclonal gammopathies research. Potential pitfalls are also discussed. Methods Comparison and optimisation of freezing and sorting protocols for plasma cells in monoclonal gammopathies, followed by testing of various nucleic acid isolation and amplification techniques to establish a guideline for sample processing in haemato-oncology research. Results We show the average numbers of aberrant cells that can be obtained from various monoclonal gammopathies (monoclonal gammopathy of undetermined significance/light chain amyloidosis/multiple myeloma (MM)/MM circulating plasma cells/ minimal residual disease MM—10 123/22 846/305 501/68 641/4000 aberrant plasma cells of 48/30/10/16/37×106 bone marrow mononuclear cells) and the expected yield of nucleic acids provided from multiple isolation kits (DNA/RNA yield from 1 to 200×103 cells was 2.14–427/0.12–123 ng). Conclusions Tested kits for parallel isolation deliver outputs comparable with kits specialised for just one type of molecule. We also present our positive experience with the whole genome amplification method, which can serve as a very powerful tool to gain complex information from a very small cell population.


Klinicka Onkologie | 2017

Whole Exome Sequencing of Aberrant Plasma Cells in a Patient with Multiple Myeloma Minimal Residual Disease

Martina Zátopková; Jana Filipova; Tomas Jelinek; Petr Vojta; Tereza Ševčíková; Michal Šimíček; Lucie Říhová; Renata Bezděková; Kateřina Growková; Zuzana Kufova; Jana Smejkalová; Marian Hajduch; Luděk Pour; Jiří Minařík; Alexandra Jungová; Vladimír Maisnar; Fedor Kryukov; Roman Hájek

Multiple myeloma is a plasma cell dyscrasia. It is the second most common hematological malignancy which is characterized by proliferation of clonal plasma cells producing harmful monoclonal immunoglobulin. Despite treatment modalities greatly evolved during the last decade, small amount of aberrant residual cells reside in patients after therapy and can cause relapse of the disease. Characterization of the residual, resistant clones can help to reveal important therapeutic targets for application of effective and precious treatment. We use CD38, CD45, CD56 and CD19 sorted aberrant plasma cells to perform next generation sequencing of their exome. Among the 213 genes in which at least one variant was present, the most interesting was found gene NRAS, one of the most often mutated gene in multiple myeloma, and homologs of 88 gene panel previously used for multiple myeloma sequencing among which was a gene previously identified as gene meaningful in bortezomib resistance. Nevertheless, the results of next generation exome sequencing need to be interpreted with caution, since they rely on bioinformatical analysis, which is still being optimized. The results of next generation sequencing will also have to be confirmed by Sanger sequencing. Final results supported by larger cohort of patients will be published soon.Key words: multiple myeloma - minimal residual disease - exome - next generation sequencing.


Klinicka Onkologie | 2017

Biomarkers in immunoglobulin light chain amyloidosis

Zuzana Kufova; Tereza Ševčíková; Kateřina Growková; Petr Vojta; Jana Filipova; Zdeněk Adam; Luděk Pour; Miroslav Penka; Romana Rysava; Pavel Němec; Lucie Brožová; Petra Vychytilová; Artur Jurczyszyn; Sebastian Grosicki; Agnieszka Barchnicka; Marian Hajduch; Michal Šimíček; Roman Hájek

Immunoglobulin light chain amyloidosis (AL amyloidosis - ALA) is a monoclonal gammopathy characterized by presence of aberrant plasma cells producing amyloidogenic immunoglobulin light chains. This leads to formation of amyloid fibrils in various organs and tissues, mainly in heart and kidney, and causes their dysfunction. As amyloid depositing in target organs is irreversible, there is a big effort to identify biomarker that could help to distinguish ALA from other monoclonal gammopathies in the early stages of disease, when amyloid deposits are not fatal yet. High throughput technologies bring new opportunities to modern cancer research as they enable to study disease within its complexity. Sophisticated methods such as next generation sequencing, gene expression profiling and circulating microRNA profiling are new approaches to study aberrant plasma cells from patients with light chain amyloidosis and related diseases. While generally known mutation in multiple myeloma patients (KRAS, NRAS, MYC, TP53) were not found in ALA, number of mutated genes is comparable. Transcriptome of ALA patients proves to be more similar to monoclonal gammopathy of undetermined significance patients, moreover level of circulating microRNA, that are known to correlate with heart damage, is increased in ALA patients, where heart damage in ALA typical symptom.Key words: amyloidosis - plasma cell - genome - transcriptome - microRNA.


European Journal of Haematology | 2017

Waldenström′s macroglobulinemia: Two malignant clones in a monoclonal disease? Molecular background and clinical reflection

Kateřina Growková; Elena Kryukova; Zuzana Kufova; Jana Filipova; Tereza Ševčíková; Lucie Říhová; Michal Kaščák; Fedor Kryukov; Roman Hájek

Waldenström′s macroglobulinemia (WM) is a complex disease characterized by apparent morphological heterogeneity within the malignant clonal cells representing a continuum of small lymphocytes, plasmacytoid lymphocytes, and plasma cells. At the molecular level, the neoplastic B cell–derived clone has undergone somatic hypermutation, but not isotype switching, and retains the capability of plasmacytic differentiation. Although by classical definition, WM is formed by monoclonal expansion, long‐lived clonal B lymphocytes are of heterogeneous origin. Even more, according to current opinion, plasma cells also conform certain population with pathogenic and clinical significance. In this article, we review the recent advances in the WM clonal architecture, briefly describe B‐cell development during which the molecular changes lead to the malignant transformation and mainly focus on differences between two principal B‐lineage clones, including analysis of their genome and transcriptome profiles, as well as immunophenotype features. We assume that the correct identification of a number of specific immunophenotypic molecular and expression alterations leading to proper aberrant clone detection can help to guide patient monitoring throughout treatment and successfully implement therapy strategies directed against both B‐ and plasma cell tumor WM clones.


Gene | 2016

Does AL amyloidosis have a unique genomic profile? Gene expression profiling meta-analysis and literature overview.

Fedor Kryukov; Elena Kryukova; Lucie Brozova; Zuzana Kufova; Jana Filipova; Katerina Growkova; Tereza Ševčíková; Jiri Jarkovsky; Roman Hájek


Clinical Lymphoma, Myeloma & Leukemia | 2017

Exome Sequencing of AL Amyloidosis Reveals Recurrently Mutated Genes

Zuzana Kufova; Tereza Ševčíková; Petr Vojta; Jana Filipova; Katerina Growkova; Sebastian Grosicki; Fedor Kryukov; Roman Hájek


Clinical Lymphoma, Myeloma & Leukemia | 2017

Novel Approach to Study Relationship Between Copy Number Variation and Gene Expression in Multiple Myeloma

Lucie Brozova; Fedor Kryukov; Jana Filipova; Tereza Ševčíková; Zuzana Kufova; Katerina Growkova; Elena Kryukova; Jan Smetana; Pavel Nemec; Jiri Jarkovsky; Roman Hájek; Michal Šimíček

Collaboration


Dive into the Jana Filipova's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge